| Literature DB >> 35880191 |
Tek Maraseni1,2, Bishnu Hari Poudyal1, Kishor Aryal1,3, Hari Krishna Laudari4,5.
Abstract
All walks of life have been affected by COVID-19 but smallholders from developing countries have been impacted more than others as they are heavily reliant on forest and agriculture for their livelihoods and have limited capacity to deal with COVID-19. Scholars are heavily engaged in assessing the impacts of COVID-19 on health and wellbeing, gender, food production and supply, stock market and the overall economy but not on the forestry sector. Using questionnaire surveys and key informant interviews-informed by grey literature and published articles- representing Division Forest Offices, Provincial Forest Directorates, and the Ministry of Forests and Environment in Nepal, this study assessed the impact of COVID-19 on the forestry sector of Nepal. Our analysis suggests that: (1) nature-based tourism is more severely affected than other sectors; (2) private, religious and leasehold forests faced minimal impacts of COVID-19 than that of community and government-managed forests; (3) wild boar (Sus scrofa), different species of deer, and birds have been more impacted than other wild animals; (4) the price of the timber has increased significantly whereas the price of non-timber forests products (NTFPs) has decreased; and (5) illegal logging and poaching have increased but the incidence of forest encroachment has been reduced. Our study further reveals that agroforestry practices in home gardens, borrowing money from neighbors/banks/landlords and liquidating livestock remained key alternatives for smallholders during COVID-19. Many studies reported that reverse migration could create chaos in Nepal, but our study suggests that it may enhance rural innovation and productivity, as returnees may use their acquired knowledge and skills to develop new opportunities. As COVID-19 has created a war-like situation worldwide, Nepal should come up with a forward-looking fiscal response with alternative income generation packages to local living to counter the impacts of COVID-19 on the forestry sector. One of the options could be implementing similar programs to that of India's US$ 800 Compensatory Afforestation Program and Pakistan's 10 Billion Tree Tsunami Program, which will create a win-win situation, i.e., generate employment for reverse migrants and promotes forest restoration.Entities:
Keywords: Community forests; Forests; Homestay; Illegal logging; Poaching; Tourism; Wildlife
Year: 2022 PMID: 35880191 PMCID: PMC9300748 DOI: 10.1016/j.landusepol.2022.106280
Source DB: PubMed Journal: Land use policy ISSN: 0264-8377
Map 1Forest map of Nepal, showing its physiographic distribution.
Hardest-hit forest related activities and the extent of impacts (N = 26).
| Hardest hit forests-related sectors | Number of responses | ||
|---|---|---|---|
| Severely impacted | Highly impacted | Moderately impacted | |
| Ecotourism/recreation/homestay | 8 | 10 | 3 |
| Sawmills/resin collection | 5 | 6 | 3 |
| Furniture industry | 4 | 5 | 1 |
| Forest-based laboring | 3 | 1 | – |
| Forest protection/harvesting logging | 2 | – | 1 |
| Forest training/Capacity Building | 2 | – | – |
| Forests Product Distribution | 2 | – | – |
| Collection of NTFPs | – | 2 | 1 |
| Nursery operation | – | – | 1 |
Note: We requested respondents to suggest forests-related sectors that have been hardest hit by COVID-19, and order them most impacted first, and so on. Therefore, the sum of the number of responses is not 26.
Level of COVID-19 impacts on different forest management regimes (N = 26).
| Forest management regimes | Number of responses | ||
|---|---|---|---|
| Least impacted | Moderately impacted | Highly impacted | |
| Private forests | 7 | 3 | 1 |
| Religious forests | 6 | 3 | 2 |
| Leasehold Forests | 5 | 3 | 1 |
| Community Forests | 3 | 2 | 5 |
| National parks | 3 | 1 | 1 |
| Collaborative Forests | 2 | 1 | |
| Government managed forests | 1 | ||
Note: We requested respondents to suggest forests-management regimes that have been hardest hit by COVID-19 and order them from highly impacted to least impacted. Therefore, the sum of the number of responses is not 26.
The most impacted/poached animals (N = 26).
| Impacted animals | Number of responses | ||
|---|---|---|---|
| Severely impacted | Highly impacted | Moderately impacted | |
| Wild boar | 10 | 6 | |
| Dears (different species) | 8 | 6 | 1 |
| Fishes | 6 | 4 | 2 |
| Birds | 3 | 2 | 1 |
| Blue bull | 1 | 2 | |
| Reptiles, including gharial (a species of crocodile) | 1 | 2 | 1 |
| Rhino | 1 | 1 | |
| Elephant | 1 | 1 | |
| Bison | 1 | 1 | |
| Pangolin | 1 | ||
Fig. 1Forest products and their market prices during COVID-19.
Respondents reflection on immediate and potential future impacts of COVID-19 in forestry activities (N = 26).
| Statements | Percentage of respondents | ||||
|---|---|---|---|---|---|
| Strongly disagree | Disagree mildly | Neither agree nor disagree | Agree mildly | Strongly agree | |
| Illegal logging is growing | 0 | 12 | 19 | 35 | 35 |
| Forest encroachment is growing | 8 | 38 | 31 | 12 | 12 |
| Poaching is growing | 0 | 4 | 12 | 54 | 31 |
| The government think that this is an appropriate time for accelerating development activities on forest land | 19 | 38 | 15 | 12 | 15 |
| When COVID-19 is over, government may prioritize employment & financial returns, which could result in increased rates of deforestation and forest degradation | 4 | 15 | 31 | 35 | 15 |
| Community forests are less impacted by COVID-19 responses compared to government forests | 4 | 4 | 19 | 46 | 27 |
| Tree planting time is delayed or suspended | 0 | 15 | 54 | 15 | 15 |
| COVID-19 is accelerating migration to rural areas. This will put stress on forests resources. | 0 | 4 | 12 | 46 | 38 |
| In the long run, reverse migration may enhance rural innovation and productivity | 8 | 8 | 15 | 31 | 38 |
Alternative livelihood strategies adopted by smallholders and local communities (N = 26).
| Alternate livelihood strategies | Number of responses | ||
|---|---|---|---|
| First option | Second Option | Third option | |
| Home garden/Agroforestry | 10 | 3 | 3 |
| Borrowing money | 5 | 2 | 3 |
| Liquidating livestock | 4 | 4 | 1 |
| Labour works in another’s field and houses | 2 | 4 | 1 |
| Collection NTFPs | 2 | 1 | 3 |
| Asking support from Municipalities | 2 | 1 | 1 |
| Returned to their business | 1 | ||
| Forests-related sectors | Reasons |
| Forest management regimes | Reasons |
| Alternate livelihood strategies | Reasons |
| a. | Timber: | (i) decreased; | (ii) constant; | (iii) increased |
| b. | Fuelwood | (i) decreased; | (ii) constant; | (iii) increased |
| c. | Fodder | (i) decreased; | (ii) constant; | (iii) increased |
| d. | NTFPs | (i) decreased; | (ii) constant; | (iii) increased |
| e. | Bushmeat | (i) decreased; | (ii) constant; | (iii) increased |
| Statements | Strongly disagree | Disagree mildly | Neither agree nor disagree | Agree mildly | Strongly agree |
|---|---|---|---|---|---|
| Illegal logging is growing | |||||
| Forest encroachment is growing | |||||
| Poaching is growing | |||||
| Due to reduced civil society surveillance, the government think that this is an appropriate time for accelerating development activities on forest land | |||||
| When COVID-19 is over, government may prioritize employment & financial returns, which could result in increased rates of deforestation and forest degradation | |||||
| Community forests are less impacted by COVID-19 responses compared to government forests | |||||
| Tree planting time is delayed or suspended | |||||
| COVID-19 is accelerating migration to rural areas. This will put stress on forests resources. | |||||
| In the long run, reverse migration may enhance rural innovation and productivity |